جست‌وجوی استاد و پژوهشگر

ANDREI QUINTIA PASTRANAمشاهده پروفایل

پژوهشگر

• Administrative Law
• Housing Rights
• Sustainable Development
• +۳ مورد دیگر

Andrei Quintia Pastrana is a Ramón y Cajal Researcher in the Department of Public Law and Theory of the State at the University of Santiago de Compostela, affiliated with the Center for Interdisciplinary Research in Environmental Technologies (CRETUS) and the ARMELA Research Network in equality, rights and the social state. His educational background includes: Doctorate from University of Santiago de Compostela (2021) with thesis The guarantee of decent and accessible housing. Economic crisis and sustainability , supervised by Dr. Alba Nogueira López Quintia Pastrana's research critically examines Administrative Law through the lens of housing rights, sustainable urban development, and digital governance. His work investigates legal protections for vulnerable populations, regional housing policy implementation in Spain's autonomous communities, and blockchain applications in local government transparency. He integrates environmental law perspectives through CRETUS affiliations, focusing on circular economy models in construction and sustainable cities (SDG 11). His publications reveal consistent analysis of how economic crises impact housing accessibility and the evolving role of digital platforms in public administration. His publication trends demonstrate increasing focus on comparative international frameworks (Spain/Ireland), territorial governance of housing, and innovative legal responses to tourism-driven gentrification. The research consistently bridges theoretical human rights frameworks with practical policy implementation challenges, particularly regarding vulnerable groups during economic instability. Scientific recognition includes: Ramón y Cajal Researcher fellowship (prestigious Spanish competitive research program) As a Ramón y Cajal researcher, Quintia Pastrana actively contributes to CRETUS interdisciplinary environmental projects and ARMELA social rights initiatives. His supervision activities include mentoring within research networks, though no formal PhD students are currently listed. His projects emphasize practical legal solutions for sustainable urban development and housing accessibility, often involving collaboration with regional governments. He leads analytical work within ARMELA on social state protections and contributes to CRETUS's environmental technology research through legal frameworks for sustainable urban development. His personal website (complexproperty.gal) serves as a dedicated platform for ongoing research on property law and housing models.

Tom Ryenمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Digital Signal Processing
• +۱۳ مورد دیگر

Tom Ryen is an Associate Professor and Head of the Department of Electrical Engineering and Computer Science at the University of Stavanger (UiS), Faculty of Science and Technology. He plays a key leadership role in advancing artificial intelligence research and education, including co-founding the Stavanger AI Lab and chairing the board of the Norwegian Artificial Intelligence Research Consortium (NORA). His work bridges technical research and public engagement, particularly on the societal implications of AI. His research focuses on artificial intelligence, machine learning, digital signal processing, and bioinformatics. He has made significant contributions in gene prediction, splice site analysis using neural networks, ECG signal compression, and GPU-based optical flow algorithms. His recent work emphasizes AI ethics, education, and public understanding, reflecting a shift toward societal impact and policy. Tom Ryen's publications from 2024 show a strong trend in public outreach, with articles and lectures on AI literacy, misinformation, workplace integration, and educational challenges. These works highlight his role as a thought leader in Norway’s AI discourse, advocating for responsible adoption, national infrastructure, and ethical guidelines. Scientific Awards: No scientific awards mentioned in the text. Tom Ryen actively mentors students and collaborates across disciplines, though specific advisees are not listed. He has been involved in significant initiatives such as launching new master’s programs, expanding IT education, and promoting AI in medical and urban technologies. He has not received any mentioned grants, but his leadership in NORA and the Stavanger AI Lab suggests substantial project involvement. He is a founding figure in the Stavanger AI Lab, a research unit at UiS dedicated to AI innovation, education, and collaboration with industry and public sectors. The lab focuses on practical applications and ethical deployment of AI, aligning with national and regional development goals.

Aviral Kumarمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Reinforcement Learning
• +۳ مورد دیگر

Aviral Kumar is an Assistant Professor in the School of Computer Science at Carnegie Mellon University (CMU), jointly appointed in the Computer Science Department (CSD) and Machine Learning Department (MLD). He earned his PhD from UC Berkeley in 2023, where he received prestigious awards including the CV Ramamoorthy Distinguished Research Award, Apple PhD Fellowship, and Facebook PhD Fellowship. His research focuses on reinforcement learning (RL), particularly offline RL, scaling RL methods, and their intersection with foundation models. He leads the CMU AI & Reinforcement Learning (AIRe) lab, exploring core RL algorithms, robotics applications, and AI foundation models. Education: PhD in Computer Science from UC Berkeley (2023) Research Interests: Reinforcement Learning Offline Reinforcement Learning Robotics Foundation Models His lab emphasizes scalable RL techniques and real-world applications. Current advisees include Bhavya Kumar Agrawalla and Max Sobol Mark. Notable awards include the CV Ramamoorthy Distinguished Research Award for pioneering contributions to CS research. Lab activities and future work focus on advancing RL for autonomous systems and integrating foundation models into decision-making frameworks. The lab recruits PhD students annually from CMU SCS programs (CS, ML, RI). Undergraduates and MS students can apply via a dedicated form for research opportunities.

Paul Bossauerمشاهده پروفایل

پژوهشگر

• Mobility Research
• Data Markets
• Innovation and Information Management
• +۴ مورد دیگر

Paul Bossauer is a Researcher and Managing Director at the Institute for Consumer Informatics at the University of Applied Sciences Bonn-Rhein-Sieg. His work spans Mobility Research, Data Markets, Innovation and Information Management, Usability & User Experience, Blockchain & Cryptocurrencies, and Platform Economy. Research Focus Mobility Research: Sustainable transport systems, shared mobility, autonomous vehicles. Data Markets: Data governance, privacy, value creation through consumer data. Blockchain: Applications in sharing economy and trust mechanisms. User Experience: Design of digital interfaces, usability in emerging technologies. Publication Trends His recent work emphasizes machine learning applications in mobility, blockchain for decentralized systems, and user acceptance of autonomous vehicles. Collaborative projects focus on open-source mobility platforms like MIAAS and trust frameworks for peer-to-peer carsharing. Scientific Contributions CHI '19 Honorable Mention for co-design studies on autonomous vehicles Best Paper Award (2017) for autonomous public transport research Co-editor of "Verbraucherinformatik: Grundlagen und Anwendungsfelder der digitalen Konsumgesellschaft" (2024)

Johanna Thomaمشاهده پروفایل

استاد

• Ethics
• Philosophy of Public Policy
• Decision Theory
• +۳ مورد دیگر

Johanna Thoma is Professor of Ethics at the University of Bayreuth (since March 2023) and External Member at the Munich Center for Mathematical Philosophy. She holds a PhD in Philosophy from the University of Toronto (2017), supervised by Sergio Tenenbaum, with visiting periods at MCMP. Previously, she served as Assistant Professor (2016) and Associate Professor (2020) at the London School of Economics. She remains a Visiting Professor at LSE and is currently on maternity leave until August 2025. Her research integrates philosophy, economics, and public policy, focusing on: Decision-making under uncertainty and dynamic choice scenarios Democratic legitimacy in collective decisions and anti-paternalism Behavioral welfare economics and methodological critiques Responsible AI ethics and risk allocation in artificial agents Intertemporal ethical frameworks and long-term policy impacts Publication analysis reveals strong emphasis on normative decision theory, behavioral economics critiques, and ethical frameworks for public policy. Her 15 most recent works (2019-2024) consistently address risk ethics, policy instrumentation, and methodological foundations across philosophy and economics. Awards: 2024 Elizabeth D. Rockwell Prize for Best Article on Ethics, Leadership and Public Policy She maintains active affiliations with the International Network for Economic Method (President) and continues influencing debates on behavioral policy design through academic collaborations.

Sue Ann Sistoمشاهده پروفایل

استاد

• Rehabilitation Science
• Gait Biomechanics
• Spinal Cord Injury Recovery
• +۴ مورد دیگر

Sue Ann Sisto is Chair Professor in the Department of Rehabilitation Science at the University at Buffalo's School of Public Health and Health Professions. Previously, she served as Professor of Physical Therapy at Stony Brook University (2007-2022), where she directed the Rehabilitation and Movement Sciences concentration and founded the Rehabilitation Research and Movement Performance (RRAMP) Laboratory. Her research focuses on gait biomechanics across the lifespan, spinal cord injury recovery, and caregiver dynamics. PhD, Physical Therapy, New York University (1996) MA, Physical Therapy/Pathokinesiology, New York University (1985) BS, Physical Therapy, St. Louis University (1979) Her scholarship emphasizes 3D movement analysis, neuromodulation techniques, and community-based interventions to improve quality of life for individuals with spinal cord injuries. Recent work explores high-intensity interval exercise effects on autonomic function and cognitive recovery post-SCI. Dr. Sisto has pioneered rehabilitation protocols incorporating electrical stimulation and locomotor training, with applications for both clinical and occupational therapy contexts. Scientific contributions include: First physical therapist named ACRM Fellow (2012) ACRM President (2013-2015) Her Google Scholar publications (2017-2025) highlight expertise in locomotor training, spinal electromagnetic stimulation, and biomechanical assessment tools. Current affiliations include membership in the American Physical Therapy Association, American Congress of Rehabilitation Medicine, and Society for Neuroscience.

Kizito Salakoمشاهده پروفایل

مدرس

• Software reliability
• Bayesian statistics
• Probability theory
• +۷ مورد دیگر

Dr. Kizito Salako is a Lecturer in the Department of Computer Science at City, University of London (now merged with St George's). He is an applied mathematician and software developer at the Centre for Software Reliability, specializing in software reliability assessment using advanced statistical methods. Dr. Salako holds a first-class double honors degree in Mathematics and Statistics from the University of Lagos, a Master of Advanced Study in Mathematics from the University of Cambridge (where he was both a Shell Centenary Scholar and a Commonwealth Scholar), and a PhD in Computer Science from City, University of London. His research focuses on applying probability theory, Bayesian statistics, geometry and machine learning techniques to simulate, assess and forecast the failure behavior of software-based systems. He specializes in conservative Bayesian approaches for dependability assessment, particularly for safety-critical systems. His work has significant applications in autonomous vehicle safety and critical infrastructure protection. Dr. Salako's publications reveal a strong focus on developing statistical techniques that support conservative dependability claims for safety-critical systems, with particular attention to the challenges of assessing reliability when software systems evolve or when operational testing data may be limited. His recent work has increasingly focused on autonomous vehicle safety assessment. He has contributed to numerous research projects including DISIEM (EU Horizon-2020), CEDRICS (EPSRC), AFTER (EU FP7), DIDERO-PC (EPSRC), PIA-FARA (Technology Strategy Board), and others related to critical infrastructure interdependency analysis and cyber security. Dr. Salako is experienced in building simulations of complex systems using C++ and was instrumental in developing the PIA-FARA simulation engine for analyzing probabilistic, functional and process relationships in large-scale interdependent complex critical infrastructure.

Aaron B. Frankمشاهده پروفایل

استاد

• Wargaming
• Military Strategy
• Modeling and Simulation
• +۱۲ مورد دیگر

Aaron B. Frank is a Senior Information Scientist and Professor of Policy Analysis at the RAND School of Public Policy, RAND Corporation. His work integrates computational methods with social science to tackle pressing national security and policy challenges. His research interests lie at the intersection of artificial intelligence, modeling and simulation, wargaming, and policy analysis. He focuses on understanding uncertainty, decision-making under complexity, and the role of models in mediating data and theory. His methodological toolkit includes agent-based modeling, game theory, and qualitative case studies, applied to issues such as military strategy, social movements, and organizational behavior. The recent body of his published research demonstrates a consistent focus on strategic competition, particularly U.S.-China dynamics, the application and limitations of AI in military contexts, deterrence in the age of autonomous systems, and the modeling of 'will to fight' at both national and unit levels. His work often addresses how data science and advanced computing can improve decision support for defense and intelligence leaders. Selected Scientific Contributions: Leading the Global Competitive Analysis (GCA) Consortium at RAND. Contributing to multiple DARPA programs on advanced research methodologies. Developing models for national and military unit 'will to fight'. Participating in the inaugural cohort of RAND's Global Scholars Program on complex adaptive systems. Advising and Grants: While specific students are not listed, his leadership roles in major research consortia and programs indicate significant experience mentoring junior researchers and managing large-scale research grants, particularly from defense and intelligence agencies like DARPA and the Defense Intelligence Agency (DIA). Labs and Teams: He is a core member of RAND’s research teams focused on national security, artificial intelligence, and complex systems. His work with the GCA Consortium and DARPA suggests leadership in interdisciplinary teams combining data scientists, policy analysts, and domain experts in military affairs.

• Artificial Intelligence
• Multi-Agent Systems
• Evolutionary Computation
• +۴ مورد دیگر

Jörg Denzinger is a Professor at the University of Calgary, Canada, specializing in artificial intelligence, multi-agent systems, and automated testing. His work bridges evolutionary computation, cybersecurity, and game-based simulations, with a focus on emergent behavior and cooperative strategies. Key Research Areas: Multi-Agent Systems, Evolutionary Algorithms, Automated Theorem Proving, Game AI, Data Mining, Cybersecurity, Distributed Systems. Recent Trends: He has concentrated on applying exploratory evolutionary testing to security policy optimization, using deep learning for medical imaging, and modeling emergent coordination in self-organizing systems. Scientific Contributions: Developed frameworks for combining security mechanisms and testing multi-agent systems. Explored decentralized control in water distribution networks and adaptive risk management. Contributed to code reuse tools like Jigsaw and structural correspondence analysis.

• Empirical Software Engineering
• Software Process Improvement
• Requirements Engineering
• +۷ مورد دیگر

Andreas Jedlitschka is a researcher at Fraunhofer IESE in Kaiserslautern, Germany, affiliated with the University of Kaiserslautern. He has made significant contributions to empirical software engineering, software process improvement, and experience management. His research focuses on evidence-based decision support, technology transfer, and quality in agile and AI-driven software development. PhD, University of Kaiserslautern (2009) His research interests include empirical software engineering, requirements engineering, software quality, experience management, and AI in software development. He investigates how to improve software processes through data-driven methods, empirical validation, and knowledge reuse. His work often bridges industry and academia, emphasizing practical applicability. The recent articles highlight a growing focus on AI-enabled systems, sustainability in software engineering, and data-driven technical debt management. His work spans both theoretical frameworks and industrial case studies, particularly in agile environments and safety-critical systems. He has co-organized workshops and edited conference proceedings, indicating active participation in the research community. He mentors researchers through collaborative projects and has contributed to doctoral research frameworks. His work is supported by collaborations across Europe, particularly in EU-funded projects related to software quality and AI. He is involved in initiatives like the Q-Rapids project, which supports decision-makers in managing quality in rapid software development, and contributes to building AI innovation labs with industry partners.

Ranwa Al-Mallahمشاهده پروفایل

دانشیار

• Cybersecurity
• Artificial Intelligence
• Intelligent Transportation Systems
• +۷ مورد دیگر

Ranwa Al-Mallah is an Associate Professor in Cybersecurity at the Department of Computer Engineering and Software Engineering at Polytechnique Montréal, Québec, Canada. She specializes in secure and resilient AI applications for cyber-physical systems, with a focus on intelligent transportation systems, federated learning, and cybersecurity. Education: Bachelor's degree in Electrical Engineering, Polytechnique Montréal, Canada Master's degree in Computer and Software Engineering, Polytechnique Montréal, Canada Ph.D. in Computer and Software Engineering, Polytechnique Montréal, Canada Research Interests: Her research integrates artificial intelligence , cybersecurity , and intelligent transportation systems . She explores how AI can be used to secure and optimize systems like connected autonomous vehicles, smart cities, and critical infrastructure. Her work spans adversarial machine learning, federated learning, blockchain, and reinforcement learning in the context of cyber threats and resilience. Publications Overview: Her recent publications emphasize the intersection of AI and cybersecurity, particularly in federated learning , autonomous systems , and cyber-physical infrastructure . These works address pressing challenges such as poisoning attacks, behavior attestation, and secure multi-agent systems in transportation and IoT networks. Scientific Contributions & Collaborations: Published in top-tier venues including IEEE Access , ACM Transactions on Privacy and Security , and IEEE Transactions on Intelligent Transportation Systems Collaborates with institutions like Ryerson University and the Royal Military College of Canada Active in presenting at international conferences and workshops Teaching & Mentorship: She has taught courses in procedural programming, network security, and AI in cybersecurity. She is actively recruiting graduate students and has supervised both undergraduate and graduate research assistants. Labs & Affiliations: She is affiliated with LiTrans (Laboratory of Innovations in Transportation) and the New Frontiers in Information and Communications Technologies center at Polytechnique Montréal.

• Autonomous Vehicles
• Software Engineering
• Machine Learning
• +۳ مورد دیگر

Pavle Dakic is affiliated with Singidunum University as a researcher in the Faculty of Informatics and Computing . His work spans multiple disciplines including Software Engineering , Machine Learning , and Autonomous Vehicles . Doctoral studies in Electrical Engineering and Computing at Singidunum University (2015-2024) Doctoral studies in Applied Informatics at Slovak Technical University (2020-2024) Master’s in Contemporary Information Technologies at Singidunum University (2014-2015) His research focuses on CI/CD pipelines , automotive software compliance , and cybersecurity in autonomous systems. He has published extensively on topics like intrusion detection in IoT/IIoT and AI-powered call centers . Recent publications include work on AI integration in business , robotic vehicle sustainability , and metaheuristic optimization for intrusion detection . His collaborations span international institutions and researchers.

Nancy R. Meadمشاهده پروفایل

استاد مدعو

• Software Engineering
• Cybersecurity
• Requirements Engineering
• +۴ مورد دیگر

Dr. Nancy R. Mead is an Adjunct Professor of Software Engineering at Carnegie Mellon University and a Fellow at the Software Engineering Institute (SEI). She has a strong focus on security requirements engineering, software assurance, and educational initiatives, including developing curricula for software security. Her career includes roles at IBM Federal Systems and leadership in academia and industry collaborations. Ph.D. in Mathematics, Polytechnic Institute of New York BA in Mathematics, New York University MS in Mathematics, New York University Dr. Mead's research spans software security, requirements engineering, and software architecture, with emphasis on integrating assurance principles into education. Her work addresses software assurance competencies, supply chain risk management, and threat modeling methodologies. Recent publications highlight open-source software risks, AI in education, and CyBOK classroom usage. Her awards include the 2015 IEEE Computer Society Distinguished Education Award and the 2019 Parnas Fellow at Lero. She is a Fellow of IEEE and the IEEE Computer Society, and an ACM Distinguished Educator. Dr. Mead serves on editorial boards for the International Journal of Systems and Software Security and Protection and the Requirements Engineering Journal . As part of Carnegie Mellon's School of Computer Science and SEI, she contributes to research and educational programs. Her career bridges academia and industry, with extensive publications and leadership in software engineering education.

Mai Abdelhakimمشاهده پروفایل

دانشیار

• Cybersecurity
• Cyber-Physical Systems
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Mai Abdelhakim is an Associate Professor at the University of Pittsburgh's Swanson School of Engineering, specializing in Electrical and Computer Engineering. Her research focuses on cybersecurity, cyber-physical systems, and artificial intelligence, particularly in designing secure and reliable IoT-enabled infrastructure. PhD in Electrical Engineering, Michigan State University MS and BS in Electronics and Communications Engineering, Cairo University Her work leverages stochastic analysis, information theory, and machine learning to address challenges in wireless communications and network security. She has published extensively on topics like multihop IoT networks, anomaly detection in autonomous vehicles, and robust image watermarking. Dr. Abdelhakim has received the University of Pittsburgh’s Innovation in Education award (2023) and serves as a Senior Editor for IET Communications since 2023. Her collaborations span cybersecurity, wireless systems, and machine learning applications in network reliability.

Michael Swartwoutمشاهده پروفایل

دانشیار

• Space Systems Engineering
• Small Satellites (CubeSats)
• Space Situational Awareness
• +۵ مورد دیگر

Michael Swartwout serves as Associate Professor in the Department of Aerospace and Mechanical Engineering at Saint Louis University's School of Science and Engineering. He joined SLU in 2009 after nine years at Washington University in Saint Louis, where he contributed to student-built space missions including Sapphire (launched 2001). His educational background includes: Ph.D. in Aeronautics and Astronautics, Stanford University M.S. in Aerospace Engineering, University of Illinois at Urbana-Champaign B.S. in Aerospace Engineering, University of Illinois at Urbana-Champaign Dr. Swartwout's research centers on space systems innovation , particularly low-cost spacecraft development where universities leverage high risk tolerance to disrupt the space industry. His work on CubeSats examines why certain technologies succeed while others fail, with focus areas including space situational awareness (detecting nearby spacecraft), space mission history, logistics, and breaking the "cost and risk death spiral" through affordable, high-volume missions that permit failure as a learning tool. The Space Systems Research Laboratory under his co-direction drives fundamental research in nano/pico spacecraft, SSA, spacecraft technologies, and mission failure analysis. His 15 most recent publications (2018-2025) reveal strong trends in CubeSat evolution from niche to mainstream applications, with growing emphasis on mission assurance, autonomous constellations, and space situational awareness. Recent works analyze statistical trends in university-class spacecraft success rates while exploring emerging frontiers like in-space assembly and optical communications. Honors include: Senior Member of AIAA Tau Beta Pi Engineering Honor Society KEEN iFaculty fellow As co-director of SLU's Space Systems Research Laboratory, Swartwout trains students in full spacecraft design lifecycles through missions like SLU-01/COPPER (2013), SLU-02/Argus (2014), and SLU-03/Rascal (2015). He serves as SLU's representative to the Missouri Space Grant Consortium and teaches courses in spacecraft integration, systems engineering, and space mission failures. His grant-funded work focuses on radiation effects modeling, proximity operations, and university spacecraft program sustainability. The Space Systems Research Laboratory provides hands-on facilities for spacecraft design, fabrication, testing, and operation, with current projects advancing deployable boom technologies, radiation-hardened electronics, and multi-vehicle proximity operations for space situational awareness.